Multilabel Feature Selection Using Mutual Information and ML-ReliefF for Multilabel Classification.
Enhui ShiLin SunJiucheng XuShiguang ZhangPublished in: IEEE Access (2020)
Keyphrases
- multilabel classification
- mutual information
- feature selection
- information gain
- text categorization
- multi label
- instance based learning
- feature subset
- ensemble methods
- feature selections
- text classification
- logistic regression
- lazy learning
- maximum likelihood
- multi label classification
- naive bayes
- nearest neighbor
- support vector
- classification accuracy
- decision trees
- support vector machine
- knn
- instance selection
- multi class
- feature space
- similarity measure
- feature set
- machine learning
- k nearest neighbor
- model selection
- image classification
- data sets
- inductive learning
- face recognition
- data reduction
- pairwise
- computer vision
- neural network